Document Type : Review Article

Authors

1 Department of Biology, Faculty of Basic Sciences, Islamic Azad University, East Tehran Branch, Tehran, Iran

2 Department of Biology, Faculty of Basic Sciences, Islamic Azad University, East Tehran Branch, Tehran, Iran.

Abstract

The enormous genetic variety of the viral population harbored by the patient and the large volume of therapeutic alternatives characterize HIV therapy. Each patient and period has its viral population. The enormous number of therapy possibilities makes selecting an ideal or near-optimal therapy challenging, especially among therapy-experienced patients. Over the last decade, computer-based medication selection that measures viral resistance to pharmaceuticals has become a norm for HIV patients. We explore the qualities of available systems and the field's viewpoints.

Keywords

Main Subjects

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